BentoML

BentoML

BentoML is an open-source framework for building, shipping, and scaling machine learning applications.

Free + paidWebLinuxDockerOpen sourceMultimodal
Visit websitebentoml.com
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Overview

BentoML is an open-source framework for building, shipping, and scaling machine learning applications. It provides a unified way to package models from any framework (PyTorch, TensorFlow, etc.) into a standardized 'Bento' format for production-ready serving. With features like adaptive batching, multi-model composition, and BentoCloud for serverless deployment, it simplifies the transition from model development to scalable AI services.

Key features

  • Standardized Bento packaging
  • Adaptive Batching
  • Multi-model inference graphs
  • GPU acceleration & Auto-scaling
  • BentoCloud serverless deployment
  • Automatic gRPC/HTTP API generation
  • Model versioning

Pricing

Free + paidStarting price: Free
View pricing page

Verified on:

Use cases

  • Building real-time prediction APIs
  • Deploying complex AI workflows
  • Operating serverless AI services
  • Standardizing model serving infra

Who it is for

Data scientistsML EngineersAI Application Developers

Integrations

KubernetesAWS SageMakerGoogle Cloud Vertex AIMLflowLangChain

Tags

MLOps

How we verified this

Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.

Last verified 08/30/2026Verified sources: 1

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